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Predicting norovirus and rotavirus resurgence in the United States following the COVID-19 pandemic: a mathematical modelling study

BACKGROUND: To reduce the burden from the COVID-19 pandemic in the United States, federal and state local governments implemented restrictions such as limitations on gatherings, restaurant dining, and travel, and recommended non-pharmaceutical interventions including physical distancing, mask-wearin...

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Autores principales: Lappe, Brooke L., Wikswo, Mary E., Kambhampati, Anita K., Mirza, Sara A., Tate, Jacqueline E., Kraay, Alicia N. M., Lopman, Ben A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10117239/
https://www.ncbi.nlm.nih.gov/pubmed/37081456
http://dx.doi.org/10.1186/s12879-023-08224-w
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author Lappe, Brooke L.
Wikswo, Mary E.
Kambhampati, Anita K.
Mirza, Sara A.
Tate, Jacqueline E.
Kraay, Alicia N. M.
Lopman, Ben A.
author_facet Lappe, Brooke L.
Wikswo, Mary E.
Kambhampati, Anita K.
Mirza, Sara A.
Tate, Jacqueline E.
Kraay, Alicia N. M.
Lopman, Ben A.
author_sort Lappe, Brooke L.
collection PubMed
description BACKGROUND: To reduce the burden from the COVID-19 pandemic in the United States, federal and state local governments implemented restrictions such as limitations on gatherings, restaurant dining, and travel, and recommended non-pharmaceutical interventions including physical distancing, mask-wearing, surface disinfection, and increased hand hygiene. Resulting behavioral changes impacted other infectious diseases including enteropathogens such as norovirus and rotavirus, which had fairly regular seasonal patterns prior to the COVID-19 pandemic. The study objective was to project future incidence of norovirus and rotavirus gastroenteritis as contacts resumed and other NPIs are relaxed. METHODS: We fitted compartmental mathematical models to pre-pandemic U.S. surveillance data (2012–2019) for norovirus and rotavirus using maximum likelihood estimation. Then, we projected incidence for 2022–2030 under scenarios where the number of contacts a person has per day varies from70%, 80%, 90%, and full resumption (100%) of pre-pandemic levels. RESULTS: We found that the population susceptibility to both viruses increased between March 2020 and November 2021. The 70–90% contact resumption scenarios led to lower incidence than observed pre-pandemic for both viruses. However, we found a greater than two-fold increase in community incidence relative to the pre-pandemic period under the 100% contact scenarios for both viruses. With rotavirus, for which population immunity is driven partially by vaccination, patterns settled into a new steady state quickly in 2022 under the 70–90% scenarios. For norovirus, for which immunity is relatively short-lasting and only acquired through infection, surged under the 100% contact scenario projection. CONCLUSIONS: These results, which quantify the consequences of population susceptibility build-up, can help public health agencies prepare for potential resurgence of enteric viruses. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-023-08224-w.
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spelling pubmed-101172392023-04-22 Predicting norovirus and rotavirus resurgence in the United States following the COVID-19 pandemic: a mathematical modelling study Lappe, Brooke L. Wikswo, Mary E. Kambhampati, Anita K. Mirza, Sara A. Tate, Jacqueline E. Kraay, Alicia N. M. Lopman, Ben A. BMC Infect Dis Research Article BACKGROUND: To reduce the burden from the COVID-19 pandemic in the United States, federal and state local governments implemented restrictions such as limitations on gatherings, restaurant dining, and travel, and recommended non-pharmaceutical interventions including physical distancing, mask-wearing, surface disinfection, and increased hand hygiene. Resulting behavioral changes impacted other infectious diseases including enteropathogens such as norovirus and rotavirus, which had fairly regular seasonal patterns prior to the COVID-19 pandemic. The study objective was to project future incidence of norovirus and rotavirus gastroenteritis as contacts resumed and other NPIs are relaxed. METHODS: We fitted compartmental mathematical models to pre-pandemic U.S. surveillance data (2012–2019) for norovirus and rotavirus using maximum likelihood estimation. Then, we projected incidence for 2022–2030 under scenarios where the number of contacts a person has per day varies from70%, 80%, 90%, and full resumption (100%) of pre-pandemic levels. RESULTS: We found that the population susceptibility to both viruses increased between March 2020 and November 2021. The 70–90% contact resumption scenarios led to lower incidence than observed pre-pandemic for both viruses. However, we found a greater than two-fold increase in community incidence relative to the pre-pandemic period under the 100% contact scenarios for both viruses. With rotavirus, for which population immunity is driven partially by vaccination, patterns settled into a new steady state quickly in 2022 under the 70–90% scenarios. For norovirus, for which immunity is relatively short-lasting and only acquired through infection, surged under the 100% contact scenario projection. CONCLUSIONS: These results, which quantify the consequences of population susceptibility build-up, can help public health agencies prepare for potential resurgence of enteric viruses. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-023-08224-w. BioMed Central 2023-04-20 /pmc/articles/PMC10117239/ /pubmed/37081456 http://dx.doi.org/10.1186/s12879-023-08224-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Lappe, Brooke L.
Wikswo, Mary E.
Kambhampati, Anita K.
Mirza, Sara A.
Tate, Jacqueline E.
Kraay, Alicia N. M.
Lopman, Ben A.
Predicting norovirus and rotavirus resurgence in the United States following the COVID-19 pandemic: a mathematical modelling study
title Predicting norovirus and rotavirus resurgence in the United States following the COVID-19 pandemic: a mathematical modelling study
title_full Predicting norovirus and rotavirus resurgence in the United States following the COVID-19 pandemic: a mathematical modelling study
title_fullStr Predicting norovirus and rotavirus resurgence in the United States following the COVID-19 pandemic: a mathematical modelling study
title_full_unstemmed Predicting norovirus and rotavirus resurgence in the United States following the COVID-19 pandemic: a mathematical modelling study
title_short Predicting norovirus and rotavirus resurgence in the United States following the COVID-19 pandemic: a mathematical modelling study
title_sort predicting norovirus and rotavirus resurgence in the united states following the covid-19 pandemic: a mathematical modelling study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10117239/
https://www.ncbi.nlm.nih.gov/pubmed/37081456
http://dx.doi.org/10.1186/s12879-023-08224-w
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